Kazimierz Wielki University in Bydgoszcz

The University of Surrey is an international University with a world class teaching and research profile that is innovative, forward thinking and achieving notable results. Our research seeks to address global challenges, drive innovation, and deliver real-world impact. In the most recent UK Research Excellence Framework (REF2021), our research was ranked in the UK top 20 for research outputs. The University offers excellent multidisciplinary facilities within which to advance your career. In the School of Veterinary Medicine, you will have the opportunity to work with a collaborative team of researchers conducting cutting-edge research in infectious and non-communicable diseases and experts from world class veterinary institutes as well as an established network of veterinary practices through our many collaborative partnerships. The School of Veterinary Medicine currently holds over £7m in external research support for animal and human microbiome projects. A vibrant and collaborative community of post-doctoral researchers and PhD students are currently working on microbiome projects ranging from in vitro studies of antimicrobial resistance to helminth and parasiticide interactions with the microbiome to early-life microbiome of foals. In-house technologies supported by the University include both Illumina and nanopore sequencing platforms, Luminex-read multiplex immunoassay of cytokines, Biolog metabolic fingerprinting and aerobic/anaerobic culturomics. Data processing and analysis is supported by the University’s Bioinformatics Core Facility. Examples of current projects are available at Horse Microbiome Research Group and Anthelmintic Resistance in Southeast Asia (AHR-SEA) and La Ragione Research Group. We are seeking to appoint a Lecturer or Senior Lecturer in Microbiome Science to further grow and sustain research in this field at the University of Surrey. About the role Within the School of Veterinary Medicine, you will join the Section of Infection and Immunity within the Discipline of Comparative Biomedical Sciences. In the role you will: Establish and lead a sustainable research group generating high quality publications and demonstrable impact Secure significant research income to support the work of your research group Mentor postgraduate research students and postdoctoral fellows Initiate cross-disciplinary research collaborations allowing novel, multi-disciplinary insights into animal and human health and disease Make high quality, research-led contributions to undergraduate and postgraduate teaching within the School, including on the RCVS-accredited BVMSci veterinary degree course. About you Our Lecturers and Senior Lecturers play an important role in advancing research and innovation and influencing the future of the veterinary profession. As such, you will have: An established research profile in the field of microbiome science, including an excellent and continuing publication record, and demonstration of impact A proven track record of external research grant income generation A proven commitment to delivery of inspiring, engaging learning and teaching at undergraduate and postgraduate level Enthusiasm and a willingness to work flexibly in different contexts, alongside excellent interpersonal and teamwork skills. Experience of supervising research students What we can offer The University of Surrey is a prestigious UK University set in a beautiful campus in Guildford, half an hour’s journey from the centre of London. In addition to a generous salary and relocation support where eligible, we offer a vibrant and forward-thinking working environment, childcare assistance, first-class sports and leisure facilities, and access to a variety of staff development opportunities to help you fulfil your potential. Further Information When completing the online application form, we would welcome: a cover letter (no more than 2 pages), your CV, a brief supporting statement/ vision document (no more than 3 pages) outlining your intended five-year research plan. Informal enquiries can be made to Dr Arnoud van Vliet, Section Lead, Infection and Immunity (a.vanvliet@surrey.ac.uk) or Dr Martha Betson, Head of Discipline, Comparative Biomedical Sciences (m.betson@surrey.ac.uk). The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all. We value everyone in our community and are seeking to increase the diversity. Therefore, we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities. Induction Commitment We wish to create the conditions for success for our new starters in the Vet School, by facilitating their growth and development within our institution. All new starters who are on a local/Guildford contract are expected to be physically present on campus for 80% minimum of their working week during their initial four to six months of employment (the duration will vary depending on individual role). Further details Job Description Job Description

Ref.: 536671 Work type: Full-time Department: Department of Pharmacology and Pharmacy (21300) Categories: Senior Research Staff & Post-doctoral Fellow Assistant Research Officer in the Department of Pharmacology and Pharmacy (to be seconded to GBAICTI as Data Scientist) (Ref.: 536671) The Greater Bay Area International Clinical Trial Institute (GBAICTI) is a wholly-owned entity of the Government of the Hong Kong Special Administrative Region, serving as a centralized clinical research facilitation platform with the mission of creating and sustaining a thriving clinical research ecosystem and driving development in Hong Kong and Greater Bay Area (GBA). In November 2024, the University of Hong Kong LKS Faculty of Medicine (HKUMed) was appointed as the operator of GBAICTI. In December 2025, the Real-World Study and Application Centre (RWSAC) was established under GBAICTI to open up local health and medical databases and promote collaboration between Hong Kong and other GBA cities. We are now seeking a high-calibre professional to join the RWSAC (located at Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone) as Chief Data Scientist. Duties and Responsibilities Manage, process, and analyse complex real-world healthcare datasets to generate insights and evidence. Develop and implement data pipelines for the ingestion, curation, and transformation of RWD into the common data model. Conduct advanced statistical analyses and epidemiological studies on RWD. Collaborate with the Research Coordinators and Project Managers to define analysis plans and ensure data quality for specific projects. Prepare analysis datasets, reports, and visualisations for both internal stakeholders and external clients/sponsors. Requirements Ph.D. degree or above in Epidemiology, Data Science, Statistics, Information Systems, Computer Science, or related disciplines. A minimum of 3 years’ experience in epidemiology, data science, data analysis, or data management field. Proficiency in analytics tools such as Python, SQL, and R Strong analytical and problem-solving skills. Good command of spoken and written English and Chinese (including both Cantonese and Putonghua). Shortlisted candidates will be invited to attend a written test and/or an interview. What We Offer The appointment will commence as soon as possible on a two-year fixed-term basis, with the possibility of renewal subject to funding availability and satisfactory performance. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totaling up to 10% of basic salary. How to Apply The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start from July 9, 2026 and continue until July 31, 2026, or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency Applications close: Jul 31, 2026 (HK Time)

Classification: Academic Level B Salary package: $124,638 - $141,317 per annum plus 17% superannuation Terms: Full time, Fixed term (up to 12 months) Flexible arrangements, job share, or part time hours will be considered. Position Description and Selection Criteria: PD&PEWER_Level B_Research Fellow_CSS_2026.pdf Define and solve problems in successful human-AI partnership for information seeking and utilisation Collaborate with a vibrant and internationally recognised research group at ANU Work with industry and government partners to apply AI research to real-world outcomes About the opportunity This position is a fixed term appointment for a period of one year (up to 12 months) to contribute to research in artificial intelligence, with a particular focus on large language models and their interface to humans with varying expertise in real-world responsible AI scenarios. The successful candidate will design and develop new AI algorithms and systems, engage with a dynamic research group within the School of Computing, and collaborate with industry and government partners to translate research findings into real-world impact. Applications are particularly invited from researchers who undertake high-impact collaborative and cross-disciplinary research, and whose interests and expertise contribute to the activity cluster, School, and College. About the School The School of Computing has a strong foundation in computing and information sciences at ANU. We are a transformative centre for research in artificial intelligence and machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting decades of computer science methodologies with modern data and computational science. Our mission is motivated by the need to design, drive and sustain strategic activities via five broad focus areas: Computing Foundations, Computational Science, Intelligent Systems, Data Science and Analytics, and the Software Innovation Institute. Be part of an innovative and forward-looking intellectual agenda, built on a diverse, inclusive culture. About the College As one of the great universities of the world, ANU is driven by a culture of excellence in everything we do. Our lived experience is increasingly one of large-scale systems of people, whose actions and interactions are influenced by our digital, physical and biological environment. The ANU College of Systems and Society (CSS) hosts many of the key disciplines necessary to help us design, build, regulate and secure the future. CSS brings together expertise in social, technical, computational, ecological and scientific systems to build a new approach to systems design and build new national capabilities in data-driven policy and business development. The work we do in the College is to strengthen our national mission and meet our unique responsibilities as Australia’s national university. We will deliver on our mission by building a strong community, providing transformative educational experiences, conducting high-impact research, seeking meaningful engagement, and becoming a resilient organisation. We welcome and openly acknowledge differences in expertise, research / education / professional focus, experience and perspective. CSS is a vibrant and diverse community of more than three thousand students, staff, and visitors. Our College is comprised of the School of Computing, School of Cybernetics, School of Engineering, Fenner School of Environment & Society, Mathematical Sciences Institute, and the Australian National Centre for the Public Awareness of Science, supported by the Professional Services Group. Enquiries To enquire about this role, please contact Professor Lexing Xie via lexing.xie@anu.edu.au. Our commitment to diversity, belonging, inclusion and equity ANU is committed to building a diverse and inclusive community, and particularly welcomes applications from women, Aboriginal and Torres Strait Islander people and candidates from culturally and linguistically diverse backgrounds. Furthermore, it is practice in the ANU College of Systems and Society to actively seek a gender mix of shortlisted candidates for interview. We welcome and develop diversity of backgrounds, experiences and ideas and encourage applications from individuals who may have had non-traditional career paths, who may have taken a career break, had career disruptions or who have achieved excellence in careers outside of the higher education sector. We support applicants who require flexible arrangements in their work environments or patterns. What we offer The ANU provides attractive benefits and excellent support to maintain a healthy work/life balance and offers generous remuneration benefits, including four weeks paid vacation per year, assistance with relocation expenses and 17% employer contribution to superannuation. We also offer generous parental leave, the possibility of flexible and part time working arrangements, a parental and aged care support program, dual career hire programs, staff and family tuition fee discounts, ANU school holiday programs, and childcare facilities on campus. How to apply Applicants must apply online via the ANU recruitment portal and should upload the following separate documents: A detailed curriculum vitae (CV) including a full publication list and the names and contact details of at least three referees (preferably including a current or previous supervisor). A cover letter telling the selection committee about your interests and expertise in AI research, in particular large language models and their applications. (Optional) An achievement relative to opportunity statement where appropriate. Applications which do not address the selection criteria may not be considered for the position. Please note: The successful candidate will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results. Closing Deadline: Wednesday, 29 July 2026, 11:55 pm (AEST)